TY  - JOUR
AU  - Mwangi, Ananya
AU  - Chaudhry, Farhana
AU  - Tran, Chidi
TI  - Modelling Flexible Pavement Deterioration with Artificial Neural Networks
JO  - Open Access Journal of Engineering Applications
PY  - 2019
VL  - 43
IS  - 1
SP  - 512
EP  - 526
AB  - Practitioners have long relied on empirical rules to design smart grids, yet these often neglect the complexity of flexible pavement deterioration. Numerical simulations are complemented by artificial neural networks to cross-check the predicted trends. Sensitivity analysis showed that 3 parameters govern more than 56% of the variability. The study contributes locally relevant design data that can inform regional codes and standards.
KW  - flexible pavement deterioration
KW  - artificial neural networks
KW  - reinforced concrete
KW  - sustainability
KW  - blockchain
KW  - photonic crystal fibre
SN  - 3105-7004
DO  - 10.55555/oajea.2019.4301.028
UR  - https://journal.bsaps.com/article/9595
ER  -